Today, almost everyone uses AI in some form. But the real benefit isn’t just speed – it’s about ⚡focusing on what humans are uniquely good at ⚡: creating quality, building trust, and delivering outcomes that truly stand out.
Two practical project situations brought this to life for me – where AI didn’t replace my work but helped me elevate the quality I delivered as a Business Analyst (BA).
📌 Scenario 1: Catching Up Without Documentation
I was once on a reverse engineering project where there was no documentation at all. The system had been in use for years. That’s where ChatGPT Enterprise (provided and approved for use by authorized managers) became invaluable.
By letting AI read stored procedures, I was able to uncover the star schema, trace how data flowed from landing to staging to fact and dimension tables, then build a data dictionary that combined both technical mappings and business descriptions of fields.
AI didn’t make me “faster” just for the sake of speed – it helped me build a clear understanding, write accurate technical stories, share knowledge with others, and contribute at a level of quality that truly mattered.
📌 Scenario 2: Building a Clickable Prototype in a Short Timeframe
In another case, I had to deliver a solution concept, with only a high-level understanding of the problem space.
Again, AI became a partner in the process. I asked ChatGPT for domain knowledge to strengthen my analysis, then combined this with my years in Business Analysis and Software Development experience to shape a feasible plan.
To make the vision tangible, I used Figma with AI plugins: I described the screens I had in mind, and AI produced polished mockups.
Finally, I brought the mockups to life by turning them into a clickable prototype using Famous.ai.
It was the ability to present ideas with clarity and quality, in a form that resonated and impressed.
These experiences showed me that AI is about refocusing our effort – prompting broader thoughts about AI and the way we, as professionals, can use it.
1. Does AI Make Us Lazy?
Maybe – if we let it. But in reality, it’s our choice.
AI can polish and visualize, but I’m the one who defines the problem – and the better I express it, along with my thoughts and concerns, the more impressive the output becomes, especially when I also provide direction, analyze, question, structure, and – most importantly – decide among the many options it offers what best fits the situation. That’s where human uniqueness lies.
2. Human Capacity Is Limited
Our energy and focus are finite. As a non-native English speaker, I find that if I try to develop ideas and write in perfect English at the same time, the quality suffers.
But if I use my energy for ideas, clarity, and innovation, and let AI handle the polishing – I can produce outcomes of much higher quality.
3. The Walking vs Bicycle Analogy
If we walk every day, our legs grow stronger. But sometimes, we need to reach a destination faster – so we take a bicycle, motorbike, or car. That doesn’t mean we’ll lose our legs. 😄 It just means we’re being practical – and we can still arrange time to exercise our legs when needed.
AI is like that vehicle. It saves effort for what matters most.
The choice is not to walk or to drive. It’s when to walk, and when to drive.
4. The Trade-Off with Skills
There is always a trade-off. If I rely too much on AI for writing, my language skills may not improve as fast as they could. But if I spend most of my energy polishing language, I lose time for what truly matters: ideas, insights, and impact.
So the question becomes:
👉 Do we spend our energy polishing language…
👉 Or do we focus that energy on ideas, innovation, and high-quality outputs – while tools handle the polish?
For me, the answer is somewhere in between. I still practice language improvement – but with a smaller share of my time. The rest I consciously invest in leveraging AI, because it helps me deliver higher quality and greater value. It’s not a perfect balance, but it’s a trade-off I accept.